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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Learn how to detect fraud using Python.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Learn the essentials of parsing, manipulating and computing with dates and times in R.
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Learn how to develop deep learning models with Keras.
Explore ways to work with date and time data in SQL Server for time series analysis
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Learn to manipulate and analyze flexibly structured data with MongoDB.
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.